The Application of Computer Intelligence in the Cyber-Physical Business System Integration in Network Security

Table 1

LSTM-AutoEncoder code architecture diagram.

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Inputs = input (shape = (train_data.shape [1]), train_data.shape [2])

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# ENCODER

L1 = LSTM (64, activations = relu) (inputs)

L2 = RepeatVector (train_data.shape [1]) (L1)

# DECODER

L3 = LSTM (64, activations = relu, return_sequences = True) (L2)

Outputs = TimeDistributed (dense (train_data.shape [2])) (L3)

LSTM-AE = Model (inputs = inputs, outputs = outputs)

Inputs = input (shape= (train_data.shape [1]), train_data.shape [2])

# ENCODER

L1 = LSTM (64, activations = relu) (inputs)

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